Triple

T6688066
Position Surface form Disambiguated ID Type / Status
Subject Daejeon Station E152149 entity
Predicate serves P98 FINISHED
Object SRT
SRT is a South Korean high-speed rail service that operates on major routes including those connecting through Daejeon.
 E610745 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: SRT | Statement: [Daejeon Station, serves, SRT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SRT
Context triple: [Daejeon Station, serves, SRT]
  • A. SRT
    SRT was the former name of Toronto’s Line 3 Scarborough, an elevated light rapid transit line that operated in the city’s eastern suburbs.
  • B. RTM
    RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
  • C. NRT
    NRT is the three-letter IATA airport code for Narita International Airport, a major international gateway serving the Tokyo metropolitan area in Japan.
  • D. TRT
    TRT is the time zone used in Turkey, corresponding to UTC+3.
  • E. TRT
    TRT is Turkey's national public broadcaster, operating multiple television and radio channels domestically and internationally.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SRT
Triple: [Daejeon Station, serves, SRT]
Generated description
SRT is a South Korean high-speed rail service that operates on major routes including those connecting through Daejeon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SRT
Target entity description: SRT is a South Korean high-speed rail service that operates on major routes including those connecting through Daejeon.
  • A. SRT
    SRT was the former name of Toronto’s Line 3 Scarborough, an elevated light rapid transit line that operated in the city’s eastern suburbs.
  • B. RTM
    RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
  • C. NRT
    NRT is the three-letter IATA airport code for Narita International Airport, a major international gateway serving the Tokyo metropolitan area in Japan.
  • D. TRT
    TRT is the time zone used in Turkey, corresponding to UTC+3.
  • E. TRT
    TRT is Turkey's national public broadcaster, operating multiple television and radio channels domestically and internationally.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b14e58708190a4ba8ff1c085f160 completed March 27, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7b31fa0819089c4debbbbce9d22 completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f8d27d388190816cfeefbe1519d8 completed March 27, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69c6f9729d7881908f3c396690ffcae8 completed March 27, 2026, 9:41 p.m.
Created at: March 27, 2026, 2:04 p.m.